Читать книгу Intelligent Data Analytics for Terror Threat Prediction - Группа авторов - Страница 33

Complete inspection of network presents broad information like whether a node is susceptible, infected or recovered at each time of interval in network [11]. It is not enough to know about state of node at one time only and requires multiple time intervals. Complete observation will give this knowledge even in different time intervals. Complete observation of small scale network is easy as size of network is small but it is hardly possible in large scale networks. Figure 1.7 depicts knowledge about this problem, as shown in Figure 1.7(a) regular tree with 7 nodes considered as small scale network and complete observation of network can be possible like root node, leaf nodes, degree of nodes, etc. In Figure 1.7(b) a generic graph is shown with many nodes and multiple connections between each node treated as large scale network and observation is not easy as finding the root node, leaf nodes and degree of nodes are difficult in these kind of large scale networks. It is observed that complete observation gives better results to provide knowledge about states of nodes but works only in small scale networks [39] not in large scale network. To overcome this problem another model is used called as snapshot observation.